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Models artifacts on HuggingFace should adhere to a more conventional structure including serialized model binary and json config files
Motivation
This would allow to directly the deploy the models as HuggingFace predictors and serve them in an endpoint. This allows to start experimentation/testing faster.
Alternatives
Creating a new HF space including the requested artifacts, which would not be practical
Additional context
The end goal is to deploy comet within Amazon Sagemaker
The text was updated successfully, but these errors were encountered:
🚀 Feature
Models artifacts on HuggingFace should adhere to a more conventional structure including serialized model binary and json config files
Motivation
This would allow to directly the deploy the models as HuggingFace predictors and serve them in an endpoint. This allows to start experimentation/testing faster.
Alternatives
Creating a new HF space including the requested artifacts, which would not be practical
Additional context
The end goal is to deploy comet within Amazon Sagemaker
The text was updated successfully, but these errors were encountered: